(
data: Array<{
cohort_interval: string;
total_first_event_count: number;
[key: string]: number | string;
}>,
diffInterval: number,
interval: IRetentionInterval = 'day',
until?: string
)
| 445 | // the row is internally consistent: period 0 equals Total profiles and the |
| 446 | // curve starts at 100%. |
| 447 | export function processCohortData( |
| 448 | data: Array<{ |
| 449 | cohort_interval: string; |
| 450 | total_first_event_count: number; |
| 451 | [key: string]: number | string; |
| 452 | }>, |
| 453 | diffInterval: number, |
| 454 | interval: IRetentionInterval = 'day', |
| 455 | until?: string |
| 456 | ): IRetentionCohortRow[] { |
| 457 | if (data.length === 0) { |
| 458 | return []; |
| 459 | } |
| 460 | |
| 461 | const columns = range(0, diffInterval + 1); |
| 462 | const processed = data.map((row) => { |
| 463 | const sum = row.total_first_event_count; |
| 464 | const values = columns.map( |
| 465 | (index) => (row[`interval_${index}_user_count`] || 0) as number |
| 466 | ); |
| 467 | |
| 468 | return { |
| 469 | cohort_interval: row.cohort_interval, |
| 470 | sum, |
| 471 | values, |
| 472 | percentages: values.map((value) => (sum > 0 ? round(value / sum, 2) : 0)), |
| 473 | }; |
| 474 | }); |
| 475 | |
| 476 | const maturePeriods = processed.map((row) => |
| 477 | maturePeriodCount(row.cohort_interval, until, interval) |
| 478 | ); |
| 479 | const totalSize = processed.reduce((acc, row) => acc + row.sum, 0); |
| 480 | const representativeSize = round(totalSize / processed.length, 0); |
| 481 | |
| 482 | const averageRow: IRetentionCohortRow = { |
| 483 | cohort_interval: 'Weighted Average', |
| 484 | sum: representativeSize, |
| 485 | values: [], |
| 486 | percentages: [], |
| 487 | }; |
| 488 | |
| 489 | for (const index of columns) { |
| 490 | let matureSize = 0; |
| 491 | let retained = 0; |
| 492 | processed.forEach((row, i) => { |
| 493 | if (index <= maturePeriods[i]!) { |
| 494 | matureSize += row.sum; |
| 495 | retained += row.values[index]!; |
| 496 | } |
| 497 | }); |
| 498 | const rate = matureSize > 0 ? retained / matureSize : 0; |
| 499 | averageRow.percentages.push(round(rate, 2)); |
| 500 | averageRow.values.push(round(rate * representativeSize, 0)); |
| 501 | } |
| 502 | |
| 503 | return [averageRow, ...processed]; |
| 504 | } |
no test coverage detected